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"AMI is a program that brings together artists and engineers to realize projects using Machine Intelligence. Works are developed together alongside artists' current practices and shown at galleries, biennials, festivals, or online. By creating a platform for this emerging form of art-making, we hope to open both our research and the public conversation to new ways of thinking about intelligent systems."

Researchers at Stanford University in the US have developed new sensors that can be adhered to the skin for wireless monitoring of health. The sensors are designed to identify the physiological signals that the skin emanates, such as pulse. These readings will be wirelessly transmitted to a receiver clipped onto clothing. The sensor and receiver system has been named BodyNet.

"We introduce GLTR to inspect the visual footprint of automatically generated tex. It enables a forensic analysis of how likely an automatic system generated a text."

"We've created a bot which beats the world's top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. This is a step towards building AI systems which accomplish well-defined goals in messy, complicated situations involving real humans."

"Encyclopedic AI: AI + ANN + Automation + Robots + IoT + Cyber-Physical Systems = (AI Powered World, I-World)  "

'We're releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose "text in, text out" interface, allowing users to try it on virtually any English language task. You can now request access in order to integrate the API into your product, develop an entirely new application, or help us explore the strengths and limits of this technology.'

Massive sets of data, which are referred to as big data, are analyzed by artificial intelligence systems to give insights. These insights can be trends, patterns, or predictions. When combined, big data and AI become a formidable force. They are the powers behind the innovations we are witnessing today.

'Artificial intelligence could be one of humanity's most useful inventions. We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all.'

"This demo is a research project by Meta AI. Our main goal in this research demo is to progress conversational AI research, which means making artificial intelligence (AI)-based dialogue systems better for everyone who uses them. In this demo, we are sharing a prototype of our research chatbot, BlenderBot, and asking users to help contribute to conversational research by conversing with the bot and sharing feedback on their conversations."

"DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language."

"GPT-4 is OpenAI's most advanced system, producing safer and more useful responses"

"n this notebook, we will employ the Elo rating system to evaluate the performance of large language models (LLMs). The analysis is based on the pairwise battle results we collected from https://arena.lmsys.org between April 24 and July 17, 2023. This crowdsourcing way of data collection represents some use cases of LLMs in the wild. Below, we present the calculation procedure along with some basic analyses. To view the latest leaderboard, see https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard."

"Enhance products and solutions with Primal's DaaS platform. Our neural-symbolic technology tackles AI limitations with context-rich data like knowledge graphs, embeddings, semantic tags, and taxonomies. Generate data on-demand or offline, seamlessly integrating with LLMs and ML systems."

KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.